. Author manuscript; available in PMC: 2017 Jun 27.

Published in final edited form as: Biol Res Nurs. 2014 May 27;17(2):175–184. doi: 10.1177/1099800414534313

Table 3. Multiple logistic regression analyses for evening fatigue groups and cytokine candidate genes.

Predictor	Odds Ratio	Standard Error	95% CI	Z	p-value
IL4 rs2243248	0.30	0.143	0.120, 0.762	-2.54	0.011
Age	0.73	0.082	0.583, 0.910	-2.79	0.005
Overall model fit: χ² = 15.86, p = 0.04, R² = 0.0917
TNFA rs2229094	3.75	1.897	1.389, 10.110	2.61	0.009
Age	0.71	0.081	0.571, 0.891	-2.98	0.003
Overall model fit: χ² = 17.86, p = 0.02, R² = 0.1033

Note. For each model, the first three principal components identified from the analysis of ancestry informative markers as well as self-reported race/ethnicity (White, Asian/Pacific Islander, Black, Hispanic/Mixed background/other) were retained in all models to adjust for potential confounding due to race or ethnicity (data not shown). Predictors evaluated in the model included genotype (IL4 rs2243248: TT versus TG+GG; TNFA rs2229094: TT versus TC+CC) and age (5-year increments). CI = confidence interval; IL4 = interleukin 4 gene; TNFA = tumor necrosis factor alpha gene.